analyzing-network-packets-with-scapy
Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing
Best use case
analyzing-network-packets-with-scapy is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing
Teams using analyzing-network-packets-with-scapy should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-network-packets-with-scapy/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-network-packets-with-scapy Compares
| Feature / Agent | analyzing-network-packets-with-scapy | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
Best AI Skills for ChatGPT
Find the best AI skills to adapt into ChatGPT workflows for research, writing, summarization, planning, and repeatable assistant tasks.
AI Agent for Product Research
Browse AI agent skills for product research, competitive analysis, customer discovery, and structured product decision support.
SKILL.md Source
# Analyzing Network Packets with Scapy ## Overview Scapy is a Python packet manipulation library that enables crafting, sending, sniffing, and dissecting network packets at granular protocol layers. This skill covers using Scapy for security-relevant tasks including TCP/UDP/ICMP packet crafting, pcap file analysis, protocol field extraction, SYN scan implementation, DNS query analysis, and detecting anomalous traffic patterns such as unusually fragmented packets or malformed headers. ## When to Use - When investigating security incidents that require analyzing network packets with scapy - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Python 3.8+ with `scapy` library installed (`pip install scapy`) - Root/administrator privileges for raw socket operations (sniffing, sending) - Npcap (Windows) or libpcap (Linux) for packet capture - Authorization to perform packet operations on target network ## Steps 1. Read and parse pcap/pcapng files with `rdpcap()` for offline analysis 2. Extract protocol layers (IP, TCP, UDP, DNS, HTTP) and field values 3. Compute traffic statistics: top talkers, protocol distribution, port frequency 4. Detect SYN flood patterns by analyzing TCP flag ratios 5. Identify DNS exfiltration indicators via query length and entropy analysis 6. Craft custom probe packets for authorized network testing 7. Export findings as structured JSON report ## Expected Output JSON report containing packet statistics, protocol distribution, top source/destination IPs, detected anomalies (SYN floods, DNS tunneling indicators, fragmentation attacks), and per-flow summaries.
Related Skills
scanning-network-with-nmap-advanced
Performs advanced network reconnaissance using Nmap's scripting engine, timing controls, evasion techniques, and output parsing to discover hosts, enumerate services, detect vulnerabilities, and fingerprint operating systems across authorized target networks.
performing-wireless-network-penetration-test
Execute a wireless network penetration test to assess WiFi security by capturing handshakes, cracking WPA2/WPA3 keys, detecting rogue access points, and testing wireless segmentation using Aircrack-ng and related tools.
performing-ot-network-security-assessment
This skill covers conducting comprehensive security assessments of Operational Technology (OT) networks including SCADA systems, DCS architectures, and industrial control system communication paths. It addresses the Purdue Reference Model layers, identifies IT/OT convergence risks, evaluates firewall rules between zones, and maps industrial protocol traffic (Modbus, DNP3, OPC UA, EtherNet/IP) to detect misconfigurations, unauthorized connections, and attack surfaces in critical infrastructure.
performing-network-traffic-analysis-with-zeek
Deploy Zeek network security monitor to capture, parse, and analyze network traffic metadata for threat detection, anomaly identification, and forensic investigation.
performing-network-traffic-analysis-with-tshark
Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow detection, DNS anomaly identification, and IOC extraction from PCAP files
performing-network-packet-capture-analysis
Perform forensic analysis of network packet captures (PCAP/PCAPNG) using Wireshark, tshark, and tcpdump to reconstruct network communications, extract transferred files, identify malicious traffic, and establish evidence of data exfiltration or command-and-control activity.
performing-network-forensics-with-wireshark
Capture and analyze network traffic using Wireshark and tshark to reconstruct network events, extract artifacts, and identify malicious communications.
performing-external-network-penetration-test
Conduct a comprehensive external network penetration test to identify vulnerabilities in internet-facing infrastructure using PTES methodology, reconnaissance, scanning, exploitation, and reporting.
implementing-zero-trust-network-access
Implementing Zero Trust Network Access (ZTNA) in cloud environments by configuring identity-aware proxies, micro-segmentation, continuous verification with conditional access policies, and replacing traditional VPN-based access with BeyondCorp-style architectures across AWS, Azure, and GCP.
implementing-zero-trust-network-access-with-zscaler
Implement Zero Trust Network Access using Zscaler Private Access (ZPA) to replace traditional VPN with identity-based, context-aware access to private applications through the Zscaler Zero Trust Exchange.
implementing-purdue-model-network-segmentation
Implement network segmentation based on the Purdue Enterprise Reference Architecture (PERA) model to separate industrial control system networks into hierarchical security zones from Level 0 physical process through Level 5 enterprise, enforcing strict traffic control between OT and IT domains.
implementing-ot-network-traffic-analysis-with-nozomi
Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis to achieve comprehensive asset visibility, real-time threat detection, and vulnerability assessment across industrial control systems without disrupting operations, leveraging behavioral anomaly detection and protocol-aware monitoring.